Search Results for author: Pablo Márquez Neila

Found 3 papers, 2 papers with code

Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

1 code implementation31 Jul 2023 Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman

However, the unreliability of pseudo labels can hinder the capability of self-training techniques to induce abstract representation from the unlabeled target dataset, especially in the case of large distribution gaps.

Domain Adaptation Image Segmentation +3

Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns

no code implementations CVPR 2023 Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez Neila

However, for any new domain application looking to use weak supervision, the dataset builder still needs to define a strategy to distribute full segmentation and other weak annotations.

Segmentation Transfer Learning

CataNet: Predicting remaining cataract surgery duration

1 code implementation21 Jun 2021 Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman

Cataract surgery is a sight saving surgery that is performed over 10 million times each year around the world.

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